Abstract
Nowadays, IPTV services are delivered over physical delivery networks, which suffer from the lack of flexibility in control and management. Virtual delivery networks, as a cost-effective alternative, tend to be the dominant delivery option in the near future due to its advantages for service providers. However, virtual networks provisioning is more complicated as it integrates resources allocation, resources diminishing, and content replication interdependently. In this paper, we investigate the problem of virtual IPTV delivery network provisioning over the recent architecture, peer-service area architecture. The Genetic Algorithm as an optimization tool has been used to find the optimal provisioning parameters including storage, bandwidth, and CPU consumption. The experiments have been conducted on two data sets with different popularity distributions. The experimental results showed the impact of content popularity on the provisioning process.
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